Prompt Details
Model
Chat - (gpt-5.2)
Token size
267
Example input
[MotionText]: Squat 3x5@85%1RM shows right knee valgus 12°, left hip drops during descent, power output drops 18% by set 3, slight lower back rounding set 4-5, bar speed slows 0.3m/s last reps
[AthleteText]: 28yo soccer midfielder, grade 2 hamstring strain 2024, current volume 15h/wk training, 2x/week high-intensity sessions, returns from 3-week layoff, plays 90min matches weekly
[ContextText]: Turf surface training, 72h post-match recovery, daily hydration 2.8L, poor sleep past 3 nights, high training density 4 sessions this week, 18°C outdoor temp
Example output
**Phase 1: Motion Summary**
* **Movement patterns:** Squat execution shows right knee valgus (~12°) during the movement and left hip drop during descent, indicating frontal-plane asymmetry. Slight lumbar rounding emerges in later sets.
* **Form notes:** Technique degrades under fatigue, with lower back rounding appearing in sets 4–5 and reduced control on final repetitions.
* **Load observations:** Working at ~85% 1RM for 3×5. Power output declines by approximately 18% by set 3, and bar speed slows by ~0.3 m/s on last repetitions, suggesting accumulating neuromuscular fatigue.
**Phase 2: Subject Summary**
* **Profile:** 28-year-old soccer midfielder.
* **Training history:** Sustained a grade 2 hamstring strain in 2024.
* **Current volume:** Approximately 15 hours per week, including two high-intensity sessions weekly.
* **Competition demands:** Plays full 90-minute matches weekly.
* **Recent status:** Returning from a 3-week layoff.
**Phase 3: Context Summary**
* **Session details:** Training performed on a turf surface, 72 hours post-match.
* **Recovery markers:** Daily hydration reported at 2.8 L; sleep quality has been poor for the past three nights.
* **Training density:** Four sessions completed this week, indicating high density.
* **Environment:** Outdoor temperature approximately 18°C.
**Phase 4: Trend Review**
* Load is relatively high given recent layoff.
* Observable decline in power and bar speed across sets indicates progressive fatigue within the session.
* Technique degradation coincides with later sets, aligning with reduced output and control.
**Phase 5: Pattern Review**
* Consistent asymmetrical patterns: right knee valgus and left hip drop.
* Trunk control diminishes under fatigue, evidenced by lumbar rounding in later sets.
* Fatigue appears to exacerbate existing imbalances rather than introduce new patterns.
**Phase 6: Context Review**
* High training density, recent return from layoff, and poor sleep collectively align with observed fatigue markers (power drop, bar speed reduction).
* Adequate hydration is noted, but recovery quality may be constrained by sleep and cumulative load within the week.
**Phase 7: Overall Summary**
* The session reflects a relatively heavy load performed in a fatigued state following competitive play and dense training.
* Asymmetrical lower-limb mechanics and trunk stability issues become more pronounced as fatigue accumulates.
* Contextual recovery limitations likely contribute to reduced neuromuscular performance and form consistency.
**Phase 8: Suggestion Summary**
* Emphasize monitoring symmetry and trunk control as load or fatigue increases.
* Align session intensity with recent match play and recovery indicators to support consistent movement quality.
---
**3 Key Pattern Observations**
1. Progressive fatigue across sets corresponds with reduced power, slower bar speed, and technical breakdown.
2. Recurrent frontal-plane asymmetries (right knee valgus, left hip drop) persist and worsen under load.
3. Trunk control declines in later sets, suggesting fatigue-sensitive stability demands.
**2 General Coaching Suggestions**
1. Prioritize technical consistency and symmetry during higher-load work, especially in post-match training windows.
2. Adjust session structure or volume in weeks of high training density to maintain movement quality under fatigue.
*IMPORTANT DISCLAIMER: This is text summarization only. No medical advice, risk assessment, or predictions. Consult professionals.*
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GPT-5.2
8-phase framework for text pattern recognition in coaching notes, athlete self-reports, and training logs. Sequential summary layers deliver trends and coaching notes for coaches, physiotherapists, teams. Pure text processing – GDPR-compliant, GPT-4o/Claude 3.5 compatible. 8-phase breakdown + 3 observations + 2 suggestions. Disclaimer: Text summarization only. NOT medical diagnosis, injury prediction, or treatment advice. Consult professionals. No hardware
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